Evidence map›Paper›PMID 35611025›Full record

ArticleCase reports in nephrology and dialysis

Hemodialysis-Related Vision Loss from Anterior Ischemic Optic Neuropathy.

Arshia Eshtiaghi, Jonathan A Micieli

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in nephrology and dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Arshia EshtiaghiFaculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Jonathan A MicieliDepartment of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vision loss from nonarteritic anterior ischemic optic neuropathy (NAION) is a rare complication of hemodialysis. Here, we present a case in a young woman and discuss the pathophysiology and implications for the nephrologist. A 24-year-old woman with end-stage renal disease developed unilateral, painless vision loss following treatment with hemodialysis. Fundoscopy revealed severe left inferior chalky-white opticdisc edema, a presentation consistent with NAION. Her intradialytic blood pressure was reviewed and found to be significantly lower than her baseline, and a multidisciplinary meeting took place between her ophthalmologist and nephrologist to modify her dialysis sessions to minimize the chance of progression or involvement of her fellow eye. At the 2-month follow-up, the opticdisc edema resolved, and her visual function remained stable. Overall, NAION is a rare complication of hemodialysis and may be a result of intradialytic hypotension, platelet and endothelial dysfunction, anemia, and accumulations of toxins such as urea. As there are no established treatments for NAION, management should focus on optimizing modifiable risk factors to prevent further vision loss in the other eye. These factors include increasing the number of dialysis sessions and duration of sessions, reducing the temperature of the dialysate, discouraging eating, and increasing the dialysate's calcium concentration. Prompt recognition of NAION and multidisciplinary teamwork can minimize the risk of NAION progression and involvement of the contralateral eye.

Indexed as

Congenital nephrotic syndromeHemodialysisHypotensionNonarteritic ischemic optic neuropathy

Identifiers

PMID35611025
PMCPMC9082139
OpenAlexW4221064227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.